Out[78]:

Quick recap of Fourier Transformation

X time points: 1000
Duration: 10.0 s
Sampling rate: 100.0Hz
Nyquist frequency: 50.0Hz
Signal frequency of 2Hz
X samples: 1000

1000 calculated fourier points
1000 calculated fourier frequency points
Out[9]:
Text(0.5, 0, 'Hz')

Read in raw data

The data used for this analysis are 1second power measurements on park level of the offshore wind farms:

  • Mermaid (28WTG, 8.4MW per WTG, 235MW capacity in total)
  • Seastar (30WTG, 8.4MW per WTG, 252MW capacity in total)
  • Rentel (42 WTG, 7.35MW per WTG, 309MW capacity in total)

The time period is from 2 November until 28 November.

Rentel 2021120_COMP_Rentel - 20.11.2021 - 27.11.2021_e743_20_11_21_01_00_00_High resolution parameters 1 Second.csv
Seastar 20111101_COMP_Seastar - 01.11.2021 - 09.11.2021_5ca9_01_11_21_01_00_00_High resolution parameters 1 Second(1).csv
Mermaid - 20211120_COMP_Mermaid - 20.11.2021 - 28.11.2021_2def_20_11_21_01_00_00_High resolution parameters 1 Second.csv
Rentel 20211110_COMP_Rentel - 10.11.2021 - 19.11.2021_14ce_10_11_21_01_00_00_High resolution parameters 1 Second.csv
Mermaid 20211102_COMP_Mermaid - 02.11.2021 - 9.11.2021_d131_01_11_21_01_00_00_High resolution parameters 1 Second.csv
Seastar 20111120_COMP_Seastar - 20.11.2021 - 28.11.2021_e1bc_20_11_21_01_00_00_High resolution parameters 1 Second(1).csv
Mermaid 20211110_COMP_Mermaid - 10.11.2021 - 20.11.2021_0661_10_11_21_01_00_00_High resolution parameters 1 Second.csv
Seastar 20111110_COMP_Seastar - 10.11.2021 - 19.11.2021_c5fb_10_11_21_13_00_00_High resolution parameters 1 Second(1).csv
Rentel 20211101_COMP_Rentel - 1.11.2021 - 09.11.2021_a9bb_01_11_21_13_00_00_High resolution parameters 1 Second.csv
Read in 2275229 lines of Mermaid data
Read in 2365222 lines of Seastar data
Read in 2336408 lines of Rentel data
0.0% of lines in Mermaid data is null
0.0% of lines in Seastar data is null
0.0% of lines in Rentel data is null
Out[20]:
mermaid_active_power seastar_active_power rentel_active_power
datetime
2021-11-23 07:13:22 60.001780 47.989970 35.271730
2021-11-28 02:47:29 222.677800 238.551200 295.145200
2021-11-08 18:12:36 0.127204 2.834981 0.765502
2021-11-25 03:12:58 55.626260 44.259790 56.583370
2021-11-07 02:47:11 228.979800 232.613100 289.750700
Out[140]:
<seaborn.axisgrid.PairGrid at 0x7fcc25e37be0>

Fourier transformation complete time period

A first very rough analysis to investigate the nature of the problem. A simple fourier transformation of the complete time period is made, and the maximum frequency between 0,2Hz and 0,3Hz is calculated for each windfarm individually and the total of the three windfarms combined.

Out[141]:
mermaid_active_power seastar_active_power rentel_active_power total_active_power
datetime
2021-11-02 14:00:00 13.38953 13.88150 20.03320 47.30423
2021-11-02 14:00:01 13.45399 14.09939 19.93910 47.49248
2021-11-02 14:00:01 13.45399 14.09939 20.12528 47.67866
2021-11-02 14:00:02 13.30142 14.13340 20.20849 47.64331
2021-11-02 14:00:03 13.08963 13.99785 20.22351 47.31099
Sampling frequency = 1.02Hz

Function to apply Butterworth filter to a shorter time bin

The function does the following with a time series:

  • Verify that the timeseries is consequtive, or in other words, that there are no time gaps
  • Apply the second order bandpass butterworth filter, with lowpass frequency 0,15Hz and highpass frequency 0,3Hz.
  • Calculate and return the average power of the absolute values of the filtered signal
  • Make a plot if requested

Apply the filter to 10.000 random short term time periods

We can now apply the applyButterWorth function to 10.000 random time periods. We will apply the filter to all 3 windfarms + the total of the tree windfarms.

You can choose the length of this time period.

Calculating parameters of random window 0
Calculating parameters of random window 100
Calculating parameters of random window 200
Calculating parameters of random window 300
Calculating parameters of random window 400
Calculating parameters of random window 500
Calculating parameters of random window 600
Calculating parameters of random window 700
Calculating parameters of random window 800
Calculating parameters of random window 900
Calculating parameters of random window 1000
Calculating parameters of random window 1100
Calculating parameters of random window 1200
Calculating parameters of random window 1300
Calculating parameters of random window 1400
Calculating parameters of random window 1500
Calculating parameters of random window 1600
Calculating parameters of random window 1700
Calculating parameters of random window 1800
Calculating parameters of random window 1900
Calculating parameters of random window 2000
Calculating parameters of random window 2100
Calculating parameters of random window 2200
Calculating parameters of random window 2300
Calculating parameters of random window 2400
Calculating parameters of random window 2500
Calculating parameters of random window 2600
Calculating parameters of random window 2700
Calculating parameters of random window 2800
Calculating parameters of random window 2900
Calculating parameters of random window 3000
Calculating parameters of random window 3100
Calculating parameters of random window 3200
Calculating parameters of random window 3300
Calculating parameters of random window 3400
Calculating parameters of random window 3500
Calculating parameters of random window 3600
Calculating parameters of random window 3700
Calculating parameters of random window 3800
Calculating parameters of random window 3900
Calculating parameters of random window 4000
Calculating parameters of random window 4100
Calculating parameters of random window 4200
Calculating parameters of random window 4300
Calculating parameters of random window 4400
Calculating parameters of random window 4500
Calculating parameters of random window 4600
Calculating parameters of random window 4700
Calculating parameters of random window 4800
Calculating parameters of random window 4900
Calculating parameters of random window 5000
Calculating parameters of random window 5100
Calculating parameters of random window 5200
Calculating parameters of random window 5300
Calculating parameters of random window 5400
Calculating parameters of random window 5500
Calculating parameters of random window 5600
Calculating parameters of random window 5700
Calculating parameters of random window 5800
Calculating parameters of random window 5900
Calculating parameters of random window 6000
Calculating parameters of random window 6100
Calculating parameters of random window 6200
Calculating parameters of random window 6300
Calculating parameters of random window 6400
Calculating parameters of random window 6500
Calculating parameters of random window 6600
Calculating parameters of random window 6700
Calculating parameters of random window 6800
Calculating parameters of random window 6900
Calculating parameters of random window 7000
Calculating parameters of random window 7100
Calculating parameters of random window 7200
Calculating parameters of random window 7300
Calculating parameters of random window 7400
Calculating parameters of random window 7500
Calculating parameters of random window 7600
Calculating parameters of random window 7700
Calculating parameters of random window 7800
Calculating parameters of random window 7900
Calculating parameters of random window 8000
Calculating parameters of random window 8100
Calculating parameters of random window 8200
Calculating parameters of random window 8300
Calculating parameters of random window 8400
Calculating parameters of random window 8500
Calculating parameters of random window 8600
Calculating parameters of random window 8700
Calculating parameters of random window 8800
Calculating parameters of random window 8900
Calculating parameters of random window 9000
Calculating parameters of random window 9100
Calculating parameters of random window 9200
Calculating parameters of random window 9300
Calculating parameters of random window 9400
Calculating parameters of random window 9500
Calculating parameters of random window 9600
Calculating parameters of random window 9700
Calculating parameters of random window 9800
Calculating parameters of random window 9900

Analyse the results

  • Drop time periods in which there were time gaps
  • Drop time periods in which the power output was below 0MW
Start with 10000 time bins
8683 time bins left after removal of time gaps and negative powers
Out[963]:
timeseries_test total_mean_power intial_time total_mean_amplitude_filtered_signal total_mean_amplitude_filtered_signal_relative mermaid_mean_power mermaid_mean_amplitude_filtered_signal mermaid_mean_amplitude_filtered_signal_relative seastar_mean_power seastar_mean_amplitude_filtered_signal seastar_mean_amplitude_filtered_signal_relative rentel_mean_power rentel_mean_amplitude_filtered_signal rentel_mean_amplitude_filtered_signal_relative
3468 OK 740.331763 2021-11-22 02:38:23 0.439188 0.059323 219.557835 0.248282 0.113083 237.235525 0.307475 0.129607 283.538402 0.195216 0.06885
Out[967]:
percentile mermaid_mean_amplitude [MW] seastar_mean_amplitude [MW] rentel_mean_amplitude [MW] total_mean_amplitude [MW]
0 1 0.050936 0.043797 0.012868 0.077641
1 5 0.073217 0.061764 0.020323 0.105621
2 25 0.146866 0.125512 0.038818 0.203881
3 50 0.236496 0.211318 0.069362 0.343721
4 75 0.346174 0.318443 0.172275 0.503083
5 95 0.536592 0.498786 0.336292 0.774633
6 99 0.691233 0.645395 0.458974 1.002761
Out[968]:
percentile mermaid_mean_relative_amplitude [%] seastar_mean_relative_amplitude [%] rentel_mean_relative_amplitude [%] total_mean_relative_amplitude [%]
0 1 0.070466 0.068022 0.034266 0.038397
1 5 0.099994 0.095816 0.045876 0.051709
2 25 0.171645 0.170434 0.072085 0.087370
3 50 0.276894 0.290283 0.102209 0.141296
4 75 0.540163 0.581798 0.163145 0.266312
5 95 2.911684 2.222262 0.884562 0.946097
6 99 9.277767 5.737267 3.022734 2.170056

Read in turbine data

2021-11-20 00:00:01
2021-11-28 23:59:58
2021-11-20 00:00:00
2021-11-28 23:59:58
2021-11-20 00:00:00
2021-11-28 23:59:58
2021-11-20 00:00:02
2021-11-28 23:59:33
Out[705]:
MA1_nacelle_dir SA1_nacelle_dir R_A1_nacelle_dir MA1_rpm SA1_rpm R_A1_rpm MA1_forcey SA1_forcey MA1_forcex SA1_forcex
datetime
2021-11-20 00:00:00 NaN NaN NaN NaN NaN NaN -0.04 0.02 -0.04 -0.05
2021-11-20 00:00:01 NaN NaN NaN NaN NaN 4.0 0.01 0.13 -0.03 -0.09
2021-11-20 00:00:02 NaN NaN 264.750 NaN NaN 4.0 0.04 0.01 0.03 0.03
2021-11-20 00:00:03 NaN NaN 264.375 NaN NaN 4.0 0.00 -0.11 NaN 0.09
2021-11-20 00:00:04 NaN NaN 264.000 NaN NaN 4.0 -0.03 -0.03 -0.01 0.00

Look at correlations Mermaid turbine data and tower osscillations

Out[738]:
MA1_nacelle_dir MA1_rpm MA1_forcey MA1_forcex
datetime
2021-11-20 00:11:06 NaN 4.02 0.03 NaN
2021-11-20 00:11:09 260.736330 4.23 0.03 -0.02
2021-11-20 00:11:11 260.753908 4.45 -0.03 0.02
2021-11-20 00:11:13 260.771486 4.68 0.00 -0.01
2021-11-20 00:11:15 260.789064 4.93 0.01 0.01
Out[754]:
MA1_nacelle_dir MA1_rpm MA1_forcey MA1_forcex
datetime
2021-11-21 04:12:53 345.187575 6.14 NaN 0.18
2021-11-22 23:20:01 26.727540 7.60 0.02 0.08
2021-11-28 04:15:11 12.818787 10.97 -0.11 0.15
2021-11-28 18:58:33 349.000000 10.09 -0.09 0.20
2021-11-22 19:41:53 43.328527 6.79 -0.16 -0.06
Start with 479 time bins
Out[755]:
timeseries_test mermaid_mean_power mermaid_mean_amplitude_filtered_signal mermaid_mean_amplitude_filtered_signal_relative
datetime
2021-11-21 04:12:53 OK 118.380214 0.393791 0.332649
2021-11-22 23:20:01 OK 35.027761 0.241087 0.688274
2021-11-28 04:15:11 OK 225.342346 0.439175 0.194893
2021-11-22 19:41:53 OK 98.746027 0.235073 0.238058
2021-11-22 15:20:37 OK 105.794718 0.406257 0.384005
Out[756]:
MA1_nacelle_dir MA1_rpm MA1_forcey MA1_forcex
datetime
2021-11-21 04:12:53 345.187575 6.14 NaN 0.18
2021-11-22 23:20:01 26.727540 7.60 0.02 0.08
2021-11-28 04:15:11 12.818787 10.97 -0.11 0.15
2021-11-28 18:58:33 349.000000 10.09 -0.09 0.20
2021-11-22 19:41:53 43.328527 6.79 -0.16 -0.06
Out[758]:
MA1_nacelle_dir MA1_rpm MA1_forcey MA1_forcex timeseries_test mermaid_mean_power mermaid_mean_amplitude_filtered_signal mermaid_mean_amplitude_filtered_signal_relative
datetime
2021-11-20 02:05:03 227.669780 6.03 0.10 0.01 OK 17.064669 0.115400 0.676250
2021-11-20 04:54:31 248.976802 6.68 -0.04 -0.01 OK 25.999292 0.106157 0.408308
2021-11-20 05:07:18 251.415927 6.03 -0.05 0.00 OK 27.324399 0.093956 0.343855
2021-11-20 05:21:34 251.687110 6.22 -0.04 0.02 OK 25.331451 0.099454 0.392609
2021-11-20 07:04:15 253.641700 6.78 -0.04 0.03 OK 44.647854 0.092173 0.206445
Out[779]:
<seaborn.axisgrid.PairGrid at 0x7fcba5fe3390>

Read in OSS 15 minute meteo files

                     MER_wind_dir  SEA_wind_dir  RTL_wind_dir
datetime                                                     
2021-11-20 00:00:00    256.548459    253.875275    253.761067
2021-11-20 00:15:00    255.751532    246.845170    244.925881
2021-11-20 00:30:00    256.179482    247.987775    240.254692
2021-11-20 00:45:00    250.501580    253.723330    240.381055
2021-11-20 01:00:00    245.495300    250.678891    235.531103
                     MER_wind_speed  SEA_wind_speed  RTL_wind_speed
datetime                                                           
2021-11-20 00:00:00        3.729670        3.208010        3.932496
2021-11-20 00:15:00        3.335881        3.450055        3.918132
2021-11-20 00:30:00        3.824412        3.793800        3.866130
2021-11-20 00:45:00        4.195291        3.805244        3.857697
2021-11-20 01:00:00        4.660578        4.256435        4.361534
                     MER_wave_dir  SEA_wave_dir
datetime                                       
2021-11-20 00:00:00        341.13        309.22
2021-11-20 00:15:00        339.60        334.23
2021-11-20 00:30:00        355.10        343.71
2021-11-20 00:45:00        358.99        334.77
2021-11-20 01:00:00        370.04        346.31
                     MER_wave_height  SEA_wave_height  RTL_wave_height
datetime                                                              
2021-11-20 00:00:00           0.5843           0.5368           0.5612
2021-11-20 00:15:00           0.5787           0.5445           0.5653
2021-11-20 00:30:00           0.5889           0.5494           0.5614
2021-11-20 00:45:00           0.5512           0.5456           0.5525
2021-11-20 01:00:00           0.5625           0.5382           0.5225
                     MER_wave_period  SEA_wave_period  RTL_wave_period
datetime                                                              
2021-11-20 00:00:00             4.87             4.73             5.08
2021-11-20 00:15:00             4.75             5.08             5.21
2021-11-20 00:30:00             5.36             4.81             5.25
2021-11-20 00:45:00             5.22             5.20             4.94
2021-11-20 01:00:00             5.27             5.21             5.04
Out[1053]:
MER_wave_dir SEA_wave_dir MER_wave_height SEA_wave_height RTL_wave_height MER_wave_period SEA_wave_period RTL_wave_period MER_wind_dir SEA_wind_dir RTL_wind_dir MER_wind_speed SEA_wind_speed RTL_wind_speed MER_wind_wave_misalignment
datetime
2021-11-20 00:00:00 341.13 309.22 0.5843 0.5368 0.5612 4.87 4.73 5.08 256.548459 253.875275 253.761067 3.729670 3.208010 3.932496 -84.581541
2021-11-20 00:15:00 339.60 334.23 0.5787 0.5445 0.5653 4.75 5.08 5.21 255.751532 246.845170 244.925881 3.335881 3.450055 3.918132 -83.848468
2021-11-20 00:30:00 355.10 343.71 0.5889 0.5494 0.5614 5.36 4.81 5.25 256.179482 247.987775 240.254692 3.824412 3.793800 3.866130 -98.920518
2021-11-20 00:45:00 358.99 334.77 0.5512 0.5456 0.5525 5.22 5.20 4.94 250.501580 253.723330 240.381055 4.195291 3.805244 3.857697 -108.488420
2021-11-20 01:00:00 370.04 346.31 0.5625 0.5382 0.5225 5.27 5.21 5.04 245.495300 250.678891 235.531103 4.660578 4.256435 4.361534 -124.544700
Out[1084]:
<seaborn.axisgrid.PairGrid at 0x7fcbf379cb70>

Calculate for each timestamp with meteo parameters the Butterworth KPIs

Start with 864 time bins
864 time bins left after removal of time gaps and negative powers
True
Out[1087]:
MER_wave_dir SEA_wave_dir MER_wave_height SEA_wave_height RTL_wave_height MER_wave_period SEA_wave_period RTL_wave_period MER_wind_dir SEA_wind_dir RTL_wind_dir MER_wind_speed SEA_wind_speed RTL_wind_speed MER_wind_wave_misalignment timeseries_test total_mean_power total_mean_amplitude_filtered_signal total_mean_amplitude_filtered_signal_relative mermaid_mean_power mermaid_mean_amplitude_filtered_signal mermaid_mean_amplitude_filtered_signal_relative seastar_mean_power seastar_mean_amplitude_filtered_signal seastar_mean_amplitude_filtered_signal_relative rentel_mean_power rentel_mean_amplitude_filtered_signal rentel_mean_amplitude_filtered_signal_relative
datetime
2021-11-20 01:00:00 370.04 346.31 0.5625 0.5382 0.5225 5.27 5.21 5.04 245.495300 250.678891 235.531103 4.660578 4.256435 4.361534 -124.544700 OK 27.401429 0.148253 0.541042 10.683059 0.103825 0.971867 7.614189 0.102180 1.341966 9.104180 0.032468 0.356626
2021-11-20 01:15:00 373.36 0.06 0.5774 0.5407 0.5385 5.45 5.06 5.35 243.957950 244.714308 228.951270 4.823206 4.415643 4.316449 -129.402050 OK 35.431638 0.189511 0.534863 15.253653 0.127520 0.835994 10.802051 0.125245 1.159460 9.375934 0.042503 0.453318
2021-11-20 01:30:00 363.05 3.48 0.5870 0.5469 0.5605 5.35 4.92 4.94 241.902063 245.075966 228.067144 4.673235 4.326685 4.546509 -121.147937 OK 31.573156 0.164152 0.519911 11.514649 0.100068 0.869054 9.817731 0.082966 0.845065 10.240776 0.062650 0.611773
2021-11-20 01:45:00 360.04 15.21 0.5700 0.5599 0.5600 5.70 5.25 4.90 245.206828 245.276324 221.839254 4.959740 4.938581 5.075320 -114.833172 OK 50.941892 0.166187 0.326229 15.559190 0.110261 0.708653 16.852299 0.123511 0.732901 18.530403 0.063269 0.341436
2021-11-20 02:00:00 357.57 9.69 0.5474 0.5424 0.5666 5.63 5.24 5.00 246.191738 245.571851 222.410997 5.168771 5.416450 5.352771 -111.378262 OK 66.018003 0.175710 0.266154 18.259057 0.140418 0.769032 22.239101 0.118280 0.531854 25.519845 0.037834 0.148252

Can we predict the severity of the tower oscilations with meteo data?

Out[1089]:
MER_wave_dir SEA_wave_dir MER_wave_height SEA_wave_height RTL_wave_height MER_wave_period SEA_wave_period RTL_wave_period MER_wind_dir SEA_wind_dir RTL_wind_dir MER_wind_speed SEA_wind_speed RTL_wind_speed MER_wind_wave_misalignment timeseries_test total_mean_power total_mean_amplitude_filtered_signal total_mean_amplitude_filtered_signal_relative mermaid_mean_power mermaid_mean_amplitude_filtered_signal mermaid_mean_amplitude_filtered_signal_relative seastar_mean_power seastar_mean_amplitude_filtered_signal seastar_mean_amplitude_filtered_signal_relative rentel_mean_power rentel_mean_amplitude_filtered_signal rentel_mean_amplitude_filtered_signal_relative
datetime
2021-11-20 01:00:00 370.04 346.31 0.5625 0.5382 0.5225 5.27 5.21 5.04 245.495300 250.678891 235.531103 4.660578 4.256435 4.361534 -124.544700 OK 27.401429 0.148253 0.541042 10.683059 0.103825 0.971867 7.614189 0.102180 1.341966 9.104180 0.032468 0.356626
2021-11-20 01:15:00 373.36 0.06 0.5774 0.5407 0.5385 5.45 5.06 5.35 243.957950 244.714308 228.951270 4.823206 4.415643 4.316449 -129.402050 OK 35.431638 0.189511 0.534863 15.253653 0.127520 0.835994 10.802051 0.125245 1.159460 9.375934 0.042503 0.453318
2021-11-20 01:30:00 363.05 3.48 0.5870 0.5469 0.5605 5.35 4.92 4.94 241.902063 245.075966 228.067144 4.673235 4.326685 4.546509 -121.147937 OK 31.573156 0.164152 0.519911 11.514649 0.100068 0.869054 9.817731 0.082966 0.845065 10.240776 0.062650 0.611773
2021-11-20 01:45:00 360.04 15.21 0.5700 0.5599 0.5600 5.70 5.25 4.90 245.206828 245.276324 221.839254 4.959740 4.938581 5.075320 -114.833172 OK 50.941892 0.166187 0.326229 15.559190 0.110261 0.708653 16.852299 0.123511 0.732901 18.530403 0.063269 0.341436
2021-11-20 02:00:00 357.57 9.69 0.5474 0.5424 0.5666 5.63 5.24 5.00 246.191738 245.571851 222.410997 5.168771 5.416450 5.352771 -111.378262 OK 66.018003 0.175710 0.266154 18.259057 0.140418 0.769032 22.239101 0.118280 0.531854 25.519845 0.037834 0.148252
Out[1090]:
<seaborn.axisgrid.PairGrid at 0x7fcbf31644a8>
Selected features: ['MER_wave_dir', 'MER_wave_height', 'MER_wave_period', 'MER_wind_dir', 'MER_wind_speed', 'MER_wind_wave_misalignment']
Out[1092]:
<matplotlib.legend.Legend at 0x7fcbf7a84080>
Out[1096]:
Text(69.0, 0.5, 'Wave height [m]')

End of notebook. From here old code

Read in old meteo files

Read in lidar meteo files

Out[877]:
wave_dir_MER wave_dir_SEA
datetime
2/11/2021 0:00 217.12 226.62
2/11/2021 0:15 214.99 230.22
2/11/2021 0:30 212.14 230.47
2/11/2021 0:45 211.57 226.92
2/11/2021 1:00 217.40 230.94
Out[876]:
<matplotlib.axes._subplots.AxesSubplot at 0x7fcba5f06cf8>

Old Code

Out[119]:
{'start_time': Timestamp('2021-11-13 16:47:33'),
 'stop_time': Timestamp('2021-11-13 16:52:32'),
 'timeseries_test': 'OK',
 'total_park_power_negative_test': 'OK',
 'mermaid_park_power_negative_test': 'OK',
 'mermaid_filtered_signal_average_amplitude': 0.24254927841919197,
 'mermaid_max_power': 118.736,
 'mermaid_average_power': 111.98593266666673,
 'mermaid_min_power': 103.6371,
 'mermaid_amplitude': 0.1667630224324502,
 'mermaid_amplitude_rel': 0.14891425955153756,
 'mermaid_resonance_frequency': 0.23333333333333334,
 'seastar_park_power_negative_test': 'OK',
 'seastar_filtered_signal_average_amplitude': 0.18598199170164342,
 'seastar_max_power': 62.81275,
 'seastar_average_power': 59.73935816666667,
 'seastar_min_power': 54.37234,
 'seastar_amplitude': 0.14249051333369636,
 'seastar_amplitude_rel': 0.23852032848455196,
 'seastar_resonance_frequency': 0.23333333333333334,
 'rentel_park_power_negative_test': 'OK',
 'rentel_filtered_signal_average_amplitude': 0.043373725120614395,
 'rentel_max_power': 65.22646,
 'rentel_average_power': 61.69941126666666,
 'rentel_min_power': 58.20838,
 'rentel_amplitude': 0.044277295076644005,
 'rentel_amplitude_rel': 0.07176291340167938,
 'rentel_resonance_frequency': 0.25333333333333335,
 'total_filtered_signal_average_amplitude': 0.36033703636948433,
 'total_max_power': 241.38230000000001,
 'total_average_power': 233.42470209999993,
 'total_min_power': 222.45371,
 'total_amplitude': 0.29316758545100957,
 'total_amplitude_rel': 0.12559407072753404,
 'total_resonance_frequency': 0.23333333333333334}

Fourier parameters for the complete period

Calculate the frequency parameters of a random 1000 40seconds bins

Calculating parameters of random window 0
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OK                                                   858
Len TS 300.0 not equal to number of seconds 298.0      5
Len TS 300.0 not equal to number of seconds 296.0      3
Name: timeseries_test, dtype: int64
Out[123]:
start_time stop_time timeseries_test total_park_power_negative_test mermaid_park_power_negative_test mermaid_filtered_signal_average_amplitude mermaid_max_power mermaid_average_power mermaid_min_power mermaid_amplitude mermaid_amplitude_rel mermaid_resonance_frequency seastar_park_power_negative_test seastar_filtered_signal_average_amplitude seastar_max_power seastar_average_power seastar_min_power seastar_amplitude seastar_amplitude_rel seastar_resonance_frequency rentel_park_power_negative_test rentel_filtered_signal_average_amplitude rentel_max_power rentel_average_power rentel_min_power rentel_amplitude rentel_amplitude_rel rentel_resonance_frequency total_filtered_signal_average_amplitude total_max_power total_average_power total_min_power total_amplitude total_amplitude_rel total_resonance_frequency
0 2021-11-23 12:21:10 2021-11-23 12:26:09 OK OK OK 0.248804 28.838310 26.911952 24.667610 0.208970 0.776495 0.236667 OK 0.209502 27.05401 23.760286 21.18962 0.189642 0.798147 0.233333 OK 0.025446 25.438870 23.747441 22.137500 0.011101 0.046745 0.180000 0.306592 79.216750 74.419680 70.034230 0.206572 0.277577 0.233333
1 2021-11-06 07:29:14 2021-11-06 07:34:13 OK OK OK 0.385960 198.168700 190.850436 184.666100 0.312437 0.163708 0.233333 OK 0.262667 232.28680 227.184274 220.39280 0.196709 0.086586 0.240000 OK 0.218588 269.890600 264.791845 260.153400 0.175334 0.066216 0.250000 0.487668 692.750800 682.826555 670.253400 0.372427 0.054542 0.233333
2 2021-11-04 17:49:15 2021-11-04 17:54:14 OK OK OK 0.285256 221.613800 219.841059 218.348200 0.179621 0.081705 0.220000 OK 0.333145 221.96730 216.604455 208.84140 0.377428 0.174248 0.236667 OK 0.218239 226.153000 203.112015 187.161300 0.174873 0.086097 0.256667 0.441640 665.051100 639.557529 621.603000 0.345952 0.054092 0.236667
3 2021-11-10 23:55:07 2021-11-11 00:00:06 OK OK OK 0.055926 3.755295 2.072404 1.007462 0.035316 1.704092 0.230000 OK 0.078943 14.17403 12.814087 11.40289 0.076213 0.594760 0.236667 OK 0.066729 9.629824 8.682863 7.745285 0.035976 0.414332 0.256667 0.117933 26.276589 23.569354 20.995204 0.086692 0.367817 0.236667
4 2021-11-08 03:58:05 2021-11-08 04:03:04 OK OK OK 0.388793 55.525460 50.703790 45.745200 0.347646 0.685642 0.240000 OK 0.379272 24.05569 21.431527 19.34124 0.253738 1.183949 0.236667 OK 0.054654 20.892550 19.009387 15.771830 0.032463 0.170774 0.246667 0.473719 96.336490 91.144704 83.566200 0.448196 0.491741 0.233333